Analysing customer behaviour in mobile app usage
نویسندگان
چکیده
منابع مشابه
Understanding Mobile App Usage Patterns Using In-App Advertisements
Recent years have seen an explosive growth in the number of mobile devices such as smart phones and tablets. This has resulted in a growing need of the operators to understand the usage patterns of the mobile apps used on these devices. Previous studies in this area have relied on volunteers using instrumented devices or using fields in the HTTP traffic such as User-Agent to identify the apps i...
متن کاملLearning Mobile App Usage Routine through Learning Automata
Since its conception, smart app market has grown exponentially. Success in the app market depends on many factors among which the quality of the app is a significant contributor, such as energy use. Nevertheless, smartphones, as a subset of mobile computing devices. inherit the limited power resource constraint. Therefore, there is a challenge of maintaining the resource while increasing the ta...
متن کاملCustomer Segmentation and Customer Profiling for a Mobile Telecommunications Company Based on Usage Behavior
Vodafone, an International mobile telecommunications company, has accumulated vast amounts of data on consumer mobile phone behavior in a data warehouse. The magnitude of this data is so huge that manual analysis of data is not feasible. However, this data holds valuable information that can be applied for operational and strategical purposes. Therefore, in order to extract such information fro...
متن کاملAnalysis of Mobile Service Usage Behaviour with Bayesian Belief Networks
The purpose of this paper is to identify probabilistic relationships of mobile service usage behaviour, and especially to understand the probabilistic relationship between overall service usage diversity and average daily service usage intensity. These are topical themes due to the high number of services available in application stores which may or may not lead to high usage diversity of mobil...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Industrial Management & Data Systems
سال: 2017
ISSN: 0263-5577
DOI: 10.1108/imds-04-2016-0141